Triple

T14799423
Position Surface form Disambiguated ID Type / Status
Subject Algarve municipalities E347866 entity
Predicate include P1393 FINISHED
Object Castro Marim E12705 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Castro Marim | Statement: [Algarve municipalities, include, Castro Marim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castro Marim
Context triple: [Algarve municipalities, include, Castro Marim]
  • A. Castro Marim chosen
    Castro Marim is a town and municipality in Portugal’s Algarve region, near the Spanish border, known for its historic castle and salt marshes.
  • B. Castro Verde
    Castro Verde is a rural municipality in Portugal’s Alentejo region, known for its rolling plains, cereal farming, and important birdlife habitats.
  • C. Cabrera de Mar
    Cabrera de Mar is a coastal municipality in the Maresme comarca of Catalonia, Spain, known for its Mediterranean beaches and archaeological heritage.
  • D. Castro Urdiales
    Castro Urdiales is a coastal town in northern Spain known for its medieval architecture, fishing port, and beaches along the Bay of Biscay.
  • E. Castro de Avelãs
    Castro de Avelãs is a civil parish in the municipality of Bragança in northeastern Portugal, known for its historical and rural character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd62c36c81909c2993dc7d1a79ea completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c2cd848190bb0d8e4b5f7a489c completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.